FAQs about MS and PhD training in Biostatistics at UPenn

  • What is biostatistics?
    • Science of the design, analysis and interpretation of biomedical research studies.
  • What do biostatisticians do?
    • Work collaboratively to design scientific studies and analyze data generated as part of biomedical research. Different types of biomedical research experiments include: clinical trials, observational studies, large health databases and human genetic studies.
    • Ensure existing statistical methods are applied appropriately as well as develop better ways to design studies and analyze data.
  • What are some key differences/similarities between the PhD and MS degree?
    • Both the PhD and MS programs train students…
      • in the theory of biostatistics
      • in the application of statistical methods
    • The PhD program trains students to become independent researchers by developing new methods to address statistical problems arising from biomedical research.
    • The PhD involves five semesters of coursework, successful completion of two exams, and research leading to a doctoral dissertation. Typically this takes four to five years.
    • The MS degree requires four semesters of coursework, successful completion of an exam, and an MS thesis. Typically this takes two years of study.
    • At UPenn the course sequence for the two degrees is similar
  • What background do I need for admission?
    • At least one year of calculus (including multivariable methods), one semester of linear algebra, and working knowledge of a programming language.
    • Previous experience with data analysis and/or statistical packages is desirable but not required.
    • Advanced courses in mathematics are helpful, particularly for PhD students.
    • Our current students have undergraduate degrees in areas including: Mathematics, Statistics, Systems Engineering, Computer Science, Psychology, Biology, Chemistry, Physics and Economics
    • GRE scores are no longer required nor accepted.
    • TOEFL if English is not your native language.